Directed Dyadic Dispute-Year Data with No Duplicate Dyad-Years (CoW-MID, v. 5.0)
Source:R/data.R
cow_mid_ddydisps.Rd
These are directed dyadic dispute year data derived from the Correlates of War (CoW) Militarized Interstate Dispute (MID) project. Data are from version 5.0. These were whittled to where there is no duplicate dyad-years. Its primary aim here is merging into a dyad-year data frame.
Format
A data frame with 10234 observations on the following 25 variables.
dispnum
a numeric vector for the CoW-MID dispute number
ccode1
a numeric vector for the focal state in the dyad
ccode2
a numeric vector for the target state in the dyad
year
a numeric vector for the dispute-year
cowmidongoing
a numeric vector for whether there was a dispute ongoing in that year
cowmidonset
a numeric vector for whether it was the onset of a new dispute (or new participant-entry into a recurring dispute)
sidea1
is
ccode1
on side A of the dispute?sidea2
is
ccode2
on side A of the dispute?fatality1
a numeric vector for the overall fatality level of
ccode1
in the disputefatality2
a numeric vector for the overall fatality level of
ccode2
in the disputefatalpre1
a numeric vector for the known fatalities (with precision) for
ccode1
in the disputefatalpre2
a numeric vector for the known fatalities (with precision) for
ccode2
in the disputehiact1
a numeric vector for the highest action of
ccode1
in the disputehiact2
a numeric vector for the highest action of
ccode2
in the disputehostlev1
a numeric vector for the hostility level of
ccode1
in the disputehostlev2
a numeric vector for the hostility level of
ccode2
in the disputeorig1
is
ccode1
an originator of the dispute?orig2
is
ccode2
an originator of the dispute?fatality
a numeric vector for the fatality level of the dispute
hostlev
a numeric vector for the hostility level of the MID
mindur
a numeric vector for the minimum duration of the MID
maxdur
a numeric vector for the maximum duration of the MID
recip
a numeric vector for whether a MID was reciprocated
stmon
a numeric vector for the start month of the MID
Details
The process of creating these is described at one of the references below. Importantly, these data are somewhat
"naive." That is: they won't tell you, for example, that Brazil and Japan never directly fought each other during World War II.
Instead, it will tell you that there were two years of overlap for the two on different sides of the conflict and that the highest
action for both was a war. The data are thus similar to what the EUGene
program would create for users back in the day. Use these
data with that limitation in mind.
References
Miller, Steven V. 2021. "How to (Meticulously) Convert Participant-Level Dispute Data to Dyadic Dispute-Year Data in R." URL: http://svmiller.com/blog/2021/05/convert-cow-mid-data-to-dispute-year/
Palmer, Glenn, and Roseanne W. McManus and Vito D'Orazio and Michael R. Kenwick and Mikaela Karstens and Chase Bloch and Nick Dietrich and Kayla Kahn and Kellan Ritter and Michael J. Soules. 2021. "The MID5 Dataset, 2011–2014: Procedures, coding rules, and description" Conflict Management and Peace Science.